Complex & Intelligent Systems - Call for Papers
Special issue: Cognitive Computing for Human-Robot Interaction
Guest Editors:
Gunasekaran Manogaran, Hassan Qudrat-Ulla, Qin Xin
Purpose:
The design and development of Human-Robot Interaction (HRI) based applications are continuously increasing over the years. This increase in the event of HRI based real-world applications plays a significant role in the areas of automation in healthcare, education, entertainment, and many others. Since, HRI is widely innovative and is an integration of multiple disciplines like intelligence, computer science, natural language processing, psychology, robotics, etc. it has to withstand many hazardous environments and extreme situations. Moreover, there may be many cross-domain challenges, either intelligence or autonomy, in deploying this robotic system. In certain conditions, the HRI system used will also have interaction related problems which are uncertain, complex, and unpredictable. To manage this change of increasing challenges in HRI, the implementation of cognitive computing and techniques will improve the focus of interaction by providing accurate recommendations and solutions with reduced complexities.
Cognitive computing can imitate human intelligence and process information that can revolutionize the current existing system. It provides various advantages when combined with the HRI, such as accurate analysis for complex data, analyzes critical information in real-time, enhances human-robot interaction, cross-domain integrations, and many others. Due to its unique self-learning mechanism with the help of machine learning models, it is capable of facilitating expert assistance with deep insights without human intervention. In healthcare, manufacturing, and service sectors, cognitive computing can perform more effectively with HRI, thereby analyzing and assisting based on the need of the environment.
With the scope of the cognitive solution having a wide range of impact in HRI, there also arises certain limitations like information analyzing risks due to unstructured data, sophisticated training of data, and critical decision making based on the real-time scenario. However, effective planning with advanced technologies and adopting cognitive solutions can provide a complete solution for HRI and its applications. Since HRI has emerged as an essential research area in the recent years, this special issue titled "Cognitive Computing For Human-Robot Interaction" invites researchers and professionals from various industries to contribute their research papers including technical, behavioral, theoretical and methodological aspects of cognitive computing in Human-Robot Interaction (HRI).
The topics including but not limited to, the following:
• Cognitive computational architectures and its collaboration in HRI
• Anthropomorphic robots and human interactions: Opportunities and Challenges
• Cognitive techniques for ethical issues in HRI research
• Cognitive HRI for advances in the healthcare sector
• Cognitive computation for motivations and emotions in robotics
• Recent developments in HRI in manufacturing industries
• Future of cognitive computing for intelligent robotics
• A study on cognitive methodologies for HRI in therapy and rehabilitation process
• Design and development of HRI with cognitive computing for service robots
• Evaluation methods and new methods for creating Human-Robot relationships
• Case studies on cognitive HRI in human-centered environments
Important dates
Paper Submission Deadline 15-09-2020
Author notification 19-11-2020
Revised papers submission 24-01-2021
Final Acceptance 29-03-2021
Guest Editors:
Dr. Gunasekaran Manogaran, Big Data Scientist, University of California, Davis, USA
gmanogaran@ucdavis.edu, gmanogaran@ieee.org
https://scholar.google.com/citations?user=hO2LWCIAAAAJ&hl=en
http://ucdavis.academia.edu/GunasekaranManogaran
Dr. Gunasekaran Manogaran is currently working as a Big Data Scientist in University of California, Davis, USA. He is also an Adjunct Assistant Professor, Department of Computer Science & Information Engineering, Asia University, Taiwan and Adjunct Faculty, in School of Computing, SRM Institute of Science and Technology, Kattankulathur, India. He is a visiting researcher/scientist in University of La Frontera, Colombia and International University of La Rioja, Spain. He received his Ph.D. from the Vellore Institute of Technology University, India. He received his Bachelor of Engineering and Master of Technology from Anna University, India and Vellore Institute of Technology University, India respectively. He is the author/co-author of more than 100 papers in conferences, book chapters and journals including IEEE Transactions on Industrial Informatics, IEEE Transactions on Computational Social Systems, IEEE Internet of Things, IEEE Intelligent System, IEEE Access, ACM Transactions on Multimedia Computing, Communications, and Applications. He is currently serving as an Associate Editor in Ambient Intelligence & Humanized Computing (Springer), International Journal of Automation and Computing (Springer), Data in Brief (Elsevier) and International Journal of Interactive Multimedia and Artificial Intelligence. He is one of the Advisory Board Member of Information System (Elsevier) and an Editorial Board Member of International Journal of Computer Applications in Technology. He also appointed as Internet of Things Section Editor in Sensors (MDPI). He is on the reviewer board of several international journals and has been a member of the program committee for several international/national conferences and workshops. He currently serves on Technical Program Committee for 2018 IEEE International Conference on Consumer Electronics (ICCE) in Las Vegas, USA. He is the guest editor for various international journals including IEEE, Springer, Elsevier, Inderscience, IGI, Taylor & Francis and Emerald publishing. He has worked as a Research Assistant for a project on spatial data mining funded by Indian Council of Medical Research, Government of India. He is is Principal Investigator (PI) for the project entitled “Prognosis of Microaneurysm and Early Diagnosis System for Non-Proliferative Diabetic Retinopathy using Deep Convolutional Neural Network”, (Fund Allocated: $83,322.51 (USD), Project-ID : #111) funded by Scheme for Promotion of Academic and Research Collaborations (SPARC), Ministry of Human Resource Development, Government of India. He is a Co-Investigator for the project entitled “Agent Based Modeling of HIV epidemic in state of Telangana, India” funded by Pitt Public Health, Pittsburgh University, USA. He got an award for young investigator from India and Southeast Asia by Bill and Melinda Gates Foundation, USA. He is a member of IEEE Society and International Society for Infectious Diseases and Machine Intelligence Research labs. His current research interests include Big Data Analytics, Internet of Things and Soft Computing.
Dr. Hassan Qudrat-Ullah, Professor of Decision Sciences, School of Administrative Studies
York University, Toronto, Canada
hassanq@yorku.ca
https://www.researchgate.net/profile/Hassan_Qudrat-Ullah
https://scholar.google.com/citations?user=Ua7vaHQAAAAJ&hl=en
Dr. Hassan Qudrat-Ullah earned his Ph. D. (Decision Sciences) in 2002 from NUS Business School, National University of Singapore. Hassan did post-doctoral fellowship at Carnegie Mellon University, USA, in 2002-2003 before joining York University in 2003. His research contributions from 2011 to 2014 include two books Better Decision Making in Complex, Dynamics Tasks (Springer, 2014), and an edited volume Energy Policy Modeling in 21st Century (Springer, 2013); he also contributed seven journal articles, two book chapters and he has also been invited to several conference proceedings and invited talks. His journal articles are published in such journals as Decision Support Systems, Energy (2 articles), Telecommunication Systems, and International Journal of Technology Management. Hassan’s research interests include dynamic decision making, system dynamics modeling, computer-simulated interactive learning environments, and energy planning models. Hassan’s work has been published in Energy, Energy Policy, Decision Support Systems, Computers & Education, and Simulation & Gaming. He is the Editor-in-Chief of International Journal of Complexity in Applied Science and Technology and Associate Editor of International Journal of Global Energy Issues. He has published more than 70 research items and has been cited around 900 times. He has Google scholar h-index of 16 i10-index of 20; his Research Gate score is 24.39. He has received Excellence in Teaching Award, Excellence in Research Award and 2016-17 Dean's Award for Distinction in Research at York University.
Dr. Qin Xin, Full Professor of Computer Science, Faculty of Science and Technology,
University of the Faroe Islands, Faroe Islands. Denmark
qinx@setur.fo
https://www.researchgate.net/profile/Qin_Xin3
https://scholar.google.co.in/citations?user=ox7IO1YAAAAJ&hl=en
Dr. Qin Xin graduated with his Ph.D. in Department of Computer Science at University of Liverpool, UK in December 2004. Currently, he is working as a professor of Computer Science in the Faculty of Science and Technology at the University of the Faroe Islands (UoFI), Faroe Islands. Prior to joining UoFI, he had held variant research positions in world leading universities and research laboratory including Senior Research Fellowship at Universite Catholique de Louvain, Belgium, Research Scientist/Postdoctoral Research Fellowship at Simula Research Laboratory, Norway and Postdoctoral Research Fellowship at University of Bergen, Norway. His main research focus is on design and analysis of sequential, parallel and distributed algorithms for various communication and optimization problems in wireless communication networks, as well as cryptography and digital currencies including quantum money. Moreover, he also investigates the combinatorial optimization problems with applications in Bioinformatics, Data Mining and Space Research. Currently, he is serving on Management Committee Board of Denmark for several EU ICT projects and has produced more than 70 peer reviewed scientific papers. His works have been published in leading international conferences and journals, such as ICALP, ACM PODC, SWAT, IEEE MASS, ISAAC, SIROCCO, IEEE ICC, Algorithmica, Theoretical Computer Science, Distributed Computing, IEEE Transactions on Computers, Journal of Parallel and Distributed Computing, IEEE Transactions on Dielectrics and Electrical Insulation, and Advances in Space Research. He has been very actively involved in the services for the community in terms of acting (or acted) on various positions (e.g., Session Chair, Member of Technical Program Committee, Symposium Organizer and Local Organization Co-chair) for numerous international leading conferences in the fields of distributed computing, wireless communications and ubiquitous intelligence and computing, including IEEE MASS, IEEE LCN, ACM SAC, IEEE ICC, IEEE Globecom, IEEE WCNC, IEEE VTC, IFIP NPC, IEEE Sarnoff and so on. He is the Organizing Committee Chair for the 17th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2020, Torshavn, Faroe Islands). Currently, he also serves on the editorial board for more than ten international journals.